#!/usr/bin/env  python
# License: GPLv3 Copyright: 2008, Kovid Goyal <kovid at kovidgoyal.net>

import json
import time
from collections import defaultdict
from datetime import datetime, timedelta
from urllib.parse import quote, urlencode

from calibre import replace_entities
from calibre.ebooks.BeautifulSoup import NavigableString, Tag
from calibre.ptempfile import PersistentTemporaryFile
from calibre.web.feeds.news import BasicNewsRecipe
from html5_parser import parse
from lxml import etree

use_archive = True

def E(parent, name, text='', **attrs):
    ans = parent.makeelement(name, **attrs)
    ans.text = text
    parent.append(ans)
    return ans


def process_node(node, html_parent):
    ntype = node.get('type')
    if ntype == 'tag':
        c = html_parent.makeelement(node['name'])
        c.attrib.update({k: v or '' for k, v in node.get('attribs', {}).items()})
        html_parent.append(c)
        for nc in node.get('children', ()):
            process_node(nc, c)
    elif ntype == 'text':
        text = node.get('data')
        if text:
            text = replace_entities(text)
            if len(html_parent):
                t = html_parent[-1]
                t.tail = (t.tail or '') + text
            else:
                html_parent.text = (html_parent.text or '') + text


def safe_dict(data, *names):
    ans = data
    for x in names:
        ans = ans.get(x) or {}
    return ans


class JSONHasNoContent(ValueError):
    pass


if use_archive:
    def load_article_from_json(raw, root):
        # open('/t/raw.json', 'w').write(raw)
        data = json.loads(raw)
        body = root.xpath('//body')[0]
        article = E(body, 'article')
        E(article, 'div', data['flyTitle'] , style='color: red; font-size:small; font-weight:bold;')
        E(article, 'h1', data['title'], title=safe_dict(data, "url", "canonical") or '')
        E(article, 'div', data['rubric'], style='font-style: italic; color:#202020;')
        try:
            date = data['dateModified']
        except Exception:
            date = data['datePublished']
        dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone)
        dt = dt.strftime('%b %d, %Y, %I:%M %p')
        if data['dateline'] is None:
            E(article, 'p', dt, style='color: gray; font-size:small;')
        else:
            E(article, 'p', dt + ' | ' + (data['dateline']), style='color: gray; font-size:small;')
        main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
        if main_image_url:
            div = E(article, 'div')
            try:
                E(div, 'img', src=main_image_url)
            except Exception:
                pass
        for node in data.get('text') or ():
            process_node(node, article)
else:
    def load_article_from_json(raw, root):
        # open('/t/raw.json', 'w').write(raw)
        try:
            data = json.loads(raw)['props']['pageProps']['content']
        except KeyError as e:
            raise JSONHasNoContent(e)
        if isinstance(data, list):
            data = data[0]
        body = root.xpath('//body')[0]
        for child in tuple(body):
            body.remove(child)
        article = E(body, 'article')
        E(article, 'div', replace_entities(data['subheadline']) , style='color: red; font-size:small; font-weight:bold;')
        E(article, 'h1', replace_entities(data['headline']))
        E(article, 'div', replace_entities(data['description']), style='font-style: italic; color:#202020;')
        if data['dateline'] is None:
            E(article, 'p', (data['datePublishedString'] or ''), style='color: gray; font-size:small;')
        else:
            E(article, 'p', (data['datePublishedString'] or '') + ' | ' + (data['dateline']), style='color: gray; font-size:small;')
        main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
        if main_image_url:
            div = E(article, 'div')
            try:
                E(div, 'img', src=main_image_url)
            except Exception:
                pass
        for node in data.get('text') or ():
            process_node(node, article)


def cleanup_html_article(root):
    main = root.xpath('//main')[0]
    body = root.xpath('//body')[0]
    for child in tuple(body):
        body.remove(child)
    body.append(main)
    main.set('id', '')
    main.tag = 'article'
    for x in root.xpath('//*[@style]'):
        x.set('style', '')
    for x in root.xpath('//button'):
        x.getparent().remove(x)


def classes(classes):
    q = frozenset(classes.split(' '))
    return dict(attrs={
        'class': lambda x: x and frozenset(x.split()).intersection(q)})


def new_tag(soup, name, attrs=()):
    impl = getattr(soup, 'new_tag', None)
    if impl is not None:
        return impl(name, attrs=dict(attrs))
    return Tag(soup, name, attrs=attrs or None)


class NoArticles(Exception):
    pass


def process_url(url):
    if url.startswith('/'):
        url = 'https://www.economist.com' + url
    return url


class Economist(BasicNewsRecipe):

    title = '1843'
    language = 'en_GB'
    encoding = 'utf-8'
    masthead_url = 'https://www.livemint.com/lm-img/dev/economist-logo-oneline.png'

    __author__ = "Kovid Goyal"
    description = (
        'Published since September 1843 to take part in “a severe contest between intelligence, which presses forward, and '
        'an unworthy, timid ignorance obstructing our progress.”'
    )
    extra_css = '''
        em { color:#202020; }
        img {display:block; margin:0 auto;}
    '''
    oldest_article = 7.0
    resolve_internal_links = True
    remove_tags = [
        dict(name=['script', 'noscript', 'title', 'iframe', 'cf_floatingcontent', 'aside', 'footer']),
        dict(attrs={'aria-label': "Article Teaser"}),
        dict(attrs={
                'class': [
                    'dblClkTrk', 'ec-article-info', 'share_inline_header',
                    'related-items', 'main-content-container', 'ec-topic-widget',
                    'teaser', 'blog-post__bottom-panel-bottom', 'blog-post__comments-label',
                    'blog-post__foot-note', 'blog-post__sharebar', 'blog-post__bottom-panel',
                    'newsletter-form','share-links-header','teaser--wrapped', 'latest-updates-panel__container',
                    'latest-updates-panel__article-link','blog-post__section'
                ]
            }
        ),
        dict(attrs={
                'class': lambda x: x and 'blog-post__siblings-list-aside' in x.split()}),
        classes(
            'share-links-header teaser--wrapped latest-updates-panel__container'
            ' latest-updates-panel__article-link blog-post__section newsletter-form blog-post__bottom-panel'
        )
    ]
    keep_only_tags = [dict(name='article', id=lambda x: not x)]
    no_stylesheets = True
    remove_attributes = ['data-reactid', 'width', 'height']
    # economist.com has started throttling after about 60% of the total has
    # downloaded with connection reset by peer (104) errors.
    delay = 1

    needs_subscription = False

    def get_browser(self, *args, **kwargs):
        # Needed to bypass cloudflare
        kwargs['user_agent'] = 'common_words/based'
        br = BasicNewsRecipe.get_browser(self, *args, **kwargs)
        br.addheaders += [('Accept-Language', 'en-GB,en-US;q=0.9,en;q=0.8')]
        return br

    def economist_test_article(self):
        return [('Articles', [{'title':'test',
            'url':'https://www.economist.com/the-americas/2024/04/14/elon-musk-is-feuding-with-brazils-powerful-supreme-court'
        }])]

    def economist_return_index(self, ans):
        if not ans:
            raise NoArticles(
                'Could not find any articles, either the '
                'economist.com server is having trouble and you should '
                'try later or the website format has changed and the '
                'recipe needs to be updated.'
            )
        return ans

    if use_archive:
        def parse_index(self):
            # return self.economist_test_article()
            soup = self.index_to_soup('https://www.economist.com/hidden-content/1843magazine-hub')
            script_tag = soup.find("script", id="__NEXT_DATA__")
            if script_tag is None:
                raise ValueError('No script tag with JSON data found in the weeklyedition archive')
            data = json.loads(script_tag.string)
            content_id = data['props']['pageProps']['content'][0]['tegID'].split('/')[-1]
            query = {
                'query': 'query HubsDataQuery($id:String!$size:Int!){canonical(ref:$id){id headline description url{canonical __typename}image{ident{url{canonical __typename}width height __typename}__typename}text(mode:"hub" format:"json")hasPart(size:$size){parts{id title:headline isPartOf{context{title:headline __typename}__typename}hasPart{parts{...ArticleFragment isPartOf{id context{title:headline flyTitle:subheadline rubric:description dateline image{...ImageMainFragment ...ImagePromoFragment __typename}__typename}__typename}__typename}__typename}__typename}__typename}__typename}}fragment ArticleFragment on Content{ad{grapeshot{channels{name __typename}__typename}__typename}articleSection{internal{id title:headline __typename}__typename}audio{main{id duration(format:"seconds")source:channel{id __typename}url{canonical __typename}__typename}__typename}byline dateline dateModified datePublished dateRevised flyTitle:subheadline id image{...ImageInlineFragment ...ImageMainFragment ...ImagePromoFragment __typename}print{title:headline flyTitle:subheadline rubric:description section{id title:headline __typename}__typename}publication{id tegID title:headline flyTitle:subheadline datePublished regionsAllowed url{canonical __typename}__typename}rubric:description source:channel{id __typename}tegID text(format:"json")title:headline type url{canonical __typename}topic contentIdentity{forceAppWebview mediaType articleType __typename}__typename}fragment ImageInlineFragment on Media{inline{url{canonical __typename}width height __typename}__typename}fragment ImageMainFragment on Media{main{url{canonical __typename}width height __typename}__typename}fragment ImagePromoFragment on Media{promo{url{canonical __typename}id width height __typename}__typename}',  # noqa
                'operationName': 'HubsDataQuery',
                'variables': '{{"id":"/content/{}","size":40}}'.format(content_id),
            }
            url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(query, safe='()!', quote_via=quote)
            try:
                raw = self.index_to_soup(url, raw=True)
            except Exception:
                raise ValueError('Server is not reachable, try again some other time.')
            ans = self.economist_parse_index(raw)
            return self.economist_return_index(ans)

        def economist_parse_index(self, raw):
            data = json.loads(raw)['data']['canonical']
            self.description = data['description']

            feeds_dict = defaultdict(list)
            for part in safe_dict(data, "hasPart", "parts"):
                section = part['title']
                self.log(section)
                for art in safe_dict(part, "hasPart", "parts"):
                    title = safe_dict(art, "title")
                    desc = safe_dict(art, "rubric") or ''
                    sub = safe_dict(art, "flyTitle") or ''
                    if sub and section != sub:
                        desc = sub + ' :: ' + desc
                    pt = PersistentTemporaryFile('.html')
                    pt.write(json.dumps(art).encode('utf-8'))
                    pt.close()
                    url = 'file:///' + pt.name
                    feeds_dict[section].append({"title": title, "url": url, "description": desc})
                    self.log('\t', title, '\n\t\t', desc)
            return [(section, articles) for section, articles in feeds_dict.items()]

        def populate_article_metadata(self, article, soup, first):
            article.url = soup.find('h1')['title']

        def preprocess_html(self, soup):
            for img in soup.findAll('img', src=True):
                img['src'] = img['src'].replace('economist.com/',
                    'economist.com/cdn-cgi/image/width=600,quality=80,format=auto/')
            return soup

    else: # Load articles from individual article pages {{{

        def __init__(self, *args, **kwargs):
            BasicNewsRecipe.__init__(self, *args, **kwargs)
            if self.output_profile.short_name.startswith('kindle'):
                # Reduce image sizes to get file size below amazon's email
                # sending threshold
                self.web2disk_options.compress_news_images = True
                self.web2disk_options.compress_news_images_auto_size = 5
                self.log.warn('Kindle Output profile being used, reducing image quality to keep file size below amazon email threshold')

        def parse_index(self):
            # return [('Articles', [{'title':'test',
            #     'url':'https://www.economist.com/interactive/briefing/2022/06/11/huge-foundation-models-are-turbo-charging-ai-progress'
            # }])]
            url = 'https://www.economist.com/the-world-ahead'
            # raw = open('/t/raw.html').read()
            raw = self.index_to_soup(url, raw=True)
            # with open('/t/raw.html', 'wb') as f:
            #     f.write(raw)
            soup = self.index_to_soup(raw)
            # nav = soup.find(attrs={'class':'navigation__wrapper'})
            # if nav is not None:
            #     a = nav.find('a', href=lambda x: x and '/printedition/' in x)
            #     if a is not None:
            #         self.log('Following nav link to current edition', a['href'])
            #         soup = self.index_to_soup(process_url(a['href']))
            ans = self.economist_parse_index(soup)
            if not ans:
                raise NoArticles(
                    'Could not find any articles, either the '
                    'economist.com server is having trouble and you should '
                    'try later or the website format has changed and the '
                    'recipe needs to be updated.'
                )
            return ans

        def economist_parse_index(self, soup):
            script_tag = soup.find("script", id="__NEXT_DATA__")
            if script_tag is not None:
                data = json.loads(script_tag.string)
                # open('/t/raw.json', 'w').write(json.dumps(data, indent=2, sort_keys=True))
                self.title = safe_dict(data, "props", "pageProps", "content", "headline")
                # self.cover_url = 'https://mma.prnewswire.com/media/2275620/The_Economist_The_World_Ahead_2024.jpg?w=600'

                feeds = []

                for coll in safe_dict(data, "props", "pageProps", "content", "collections"):
                    section = safe_dict(coll, "headline") or ''
                    self.log(section)
                    articles = []
                    for part in safe_dict(coll, "hasPart", "parts"):
                        title = safe_dict(part, "headline") or ''
                        url = safe_dict(part, "url", "canonical") or ''
                        if not title or not url:
                            continue
                        desc = safe_dict(part, "description") or ''
                        sub = safe_dict(part, "subheadline") or ''
                        if sub:
                            desc = sub + ' :: ' + desc
                        self.log('\t', title, '\n\t', desc, '\n\t\t', url)
                        articles.append({'title': title, 'description':desc, 'url': url})
                    if articles:
                        feeds.append((section, articles))
                return feeds

        # }}}


    def preprocess_raw_html(self, raw, url):
        # open('/t/raw.html', 'wb').write(raw.encode('utf-8'))
        if use_archive:
            body = '<html><body><article></article></body></html>'
            root = parse(body)
            load_article_from_json(raw, root)
        else:
            root = parse(raw)
            script = root.xpath('//script[@id="__NEXT_DATA__"]')
            if script:
                try:
                    load_article_from_json(script[0].text, root)
                except JSONHasNoContent:
                    cleanup_html_article(root)

        if '/interactive/' in url:
            return '<html><body><article><h1>' + root.xpath('//h1')[0].text + '</h1><em>' \
                        + 'This article is supposed to be read in a browser' \
                            + '</em></article></body></html>'

        for div in root.xpath('//div[@class="lazy-image"]'):
            noscript = list(div.iter('noscript'))
            if noscript and noscript[0].text:
                img = list(parse(noscript[0].text).iter('img'))
                if img:
                    p = noscript[0].getparent()
                    idx = p.index(noscript[0])
                    p.insert(idx, p.makeelement('img', src=img[0].get('src')))
                    p.remove(noscript[0])
        for x in root.xpath('//*[name()="script" or name()="style" or name()="source" or name()="meta"]'):
            x.getparent().remove(x)
        # the economist uses <small> for small caps with a custom font
        for init in root.xpath('//span[@data-caps="initial"]'):
            init.set('style', 'font-weight:bold;')
        for x in root.xpath('//small'):
            if x.text and len(x) == 0:
                x.text = x.text.upper()
                x.tag = 'span'
                x.set('style', 'font-variant: small-caps')
        for h2 in root.xpath('//h2'):
            h2.tag = 'h4'
        for x in root.xpath('//figcaption'):
            x.set('style', 'text-align:center; font-size:small;')
        for x in root.xpath('//cite'):
            x.tag = 'blockquote'
            x.set('style', 'color:#404040;')
        raw = etree.tostring(root, encoding='unicode')
        return raw

    def eco_find_image_tables(self, soup):
        for x in soup.findAll('table', align=['right', 'center']):
            if len(x.findAll('font')) in (1, 2) and len(x.findAll('img')) == 1:
                yield x

    def postprocess_html(self, soup, first):
        for img in soup.findAll('img', srcset=True):
            del img['srcset']
        for table in list(self.eco_find_image_tables(soup)):
            caption = table.find('font')
            img = table.find('img')
            div = new_tag(soup, 'div')
            div['style'] = 'text-align:left;font-size:70%'
            ns = NavigableString(self.tag_to_string(caption))
            div.insert(0, ns)
            div.insert(1, new_tag(soup, 'br'))
            del img['width']
            del img['height']
            img.extract()
            div.insert(2, img)
            table.replaceWith(div)
        return soup

    def canonicalize_internal_url(self, url, is_link=True):
        if url.endswith('/print'):
            url = url.rpartition('/')[0]
        return BasicNewsRecipe.canonicalize_internal_url(self, url, is_link=is_link)


def get_login_cookies(username, password):
    print(33333333333, username, password)


if __name__ == '__main__':
    import sys
    get_login_cookies(sys.argv[-2], sys.argv[-1])
